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Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders

Major depressive disorder (MDD) is highly prevalent, recurrent, and associated with functional impairment, morbidity, and mortality. Herein, we aimed to identify disruptions in functional connectomics among subjects with MDD by using resting-state functional magnetic resonance imaging (rs-fMRI). Six...

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Autores principales: Chen, Vincent Chin-Hung, Shen, Chao-Yu, Liang, Sophie Hsin-Yi, Li, Zhen-Hui, Hsieh, Ming-Hong, Tyan, Yeu-Sheng, Lu, Mong-Liang, Lee, Yena, McIntyre, Roger S., Weng, Jun-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702252/
https://www.ncbi.nlm.nih.gov/pubmed/29181274
http://dx.doi.org/10.7717/peerj.3147
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author Chen, Vincent Chin-Hung
Shen, Chao-Yu
Liang, Sophie Hsin-Yi
Li, Zhen-Hui
Hsieh, Ming-Hong
Tyan, Yeu-Sheng
Lu, Mong-Liang
Lee, Yena
McIntyre, Roger S.
Weng, Jun-Cheng
author_facet Chen, Vincent Chin-Hung
Shen, Chao-Yu
Liang, Sophie Hsin-Yi
Li, Zhen-Hui
Hsieh, Ming-Hong
Tyan, Yeu-Sheng
Lu, Mong-Liang
Lee, Yena
McIntyre, Roger S.
Weng, Jun-Cheng
author_sort Chen, Vincent Chin-Hung
collection PubMed
description Major depressive disorder (MDD) is highly prevalent, recurrent, and associated with functional impairment, morbidity, and mortality. Herein, we aimed to identify disruptions in functional connectomics among subjects with MDD by using resting-state functional magnetic resonance imaging (rs-fMRI). Sixteen subjects with MDD and thirty health controls completed resting-state fMRI scans and clinical assessments (e.g., Hamilton Depression Rating Scale (HAMD) and Hospital Anxiety and Depression Scale (HADS)). We found higher amplitude of low frequency fluctuations (ALFF) bilaterally in the hippocampus and amygdala among MDD subjects when compared to healthy controls. Using graph theoretical analysis, we found decreased clustering coefficient, local efficiency, and transitivity in the MDD patients. Our findings suggest a potential biomarker for differentiating individuals with MDD from individuals without MDD.
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spelling pubmed-57022522017-11-27 Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders Chen, Vincent Chin-Hung Shen, Chao-Yu Liang, Sophie Hsin-Yi Li, Zhen-Hui Hsieh, Ming-Hong Tyan, Yeu-Sheng Lu, Mong-Liang Lee, Yena McIntyre, Roger S. Weng, Jun-Cheng PeerJ Neuroscience Major depressive disorder (MDD) is highly prevalent, recurrent, and associated with functional impairment, morbidity, and mortality. Herein, we aimed to identify disruptions in functional connectomics among subjects with MDD by using resting-state functional magnetic resonance imaging (rs-fMRI). Sixteen subjects with MDD and thirty health controls completed resting-state fMRI scans and clinical assessments (e.g., Hamilton Depression Rating Scale (HAMD) and Hospital Anxiety and Depression Scale (HADS)). We found higher amplitude of low frequency fluctuations (ALFF) bilaterally in the hippocampus and amygdala among MDD subjects when compared to healthy controls. Using graph theoretical analysis, we found decreased clustering coefficient, local efficiency, and transitivity in the MDD patients. Our findings suggest a potential biomarker for differentiating individuals with MDD from individuals without MDD. PeerJ Inc. 2017-11-22 /pmc/articles/PMC5702252/ /pubmed/29181274 http://dx.doi.org/10.7717/peerj.3147 Text en ©2017 Chen et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Neuroscience
Chen, Vincent Chin-Hung
Shen, Chao-Yu
Liang, Sophie Hsin-Yi
Li, Zhen-Hui
Hsieh, Ming-Hong
Tyan, Yeu-Sheng
Lu, Mong-Liang
Lee, Yena
McIntyre, Roger S.
Weng, Jun-Cheng
Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders
title Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders
title_full Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders
title_fullStr Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders
title_full_unstemmed Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders
title_short Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders
title_sort assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702252/
https://www.ncbi.nlm.nih.gov/pubmed/29181274
http://dx.doi.org/10.7717/peerj.3147
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